A Pharmacokinetic Model Determination of Time Activity Curves in Radiopharmaceutical Therapy.

IF 2.2 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS
Molecular Imaging Pub Date : 2024-11-03 eCollection Date: 2024-01-01 DOI:10.1177/15353508241280015
Joseph Steiner, Brandon Nguyen, Farhad Jafari
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引用次数: 0

Abstract

Introduction and purpose: Radiopharmaceutical therapy (RPT) dosimetry can be challenging to perform due to sparse data measurements and variations in how the time activity curve (TAC) is determined. In this work, a single system of equations was theoretically derived to estimate the TAC.

Methods: A pharmacokinetic (PK) model was developed to estimate patient specific rate constants for a given set of body compartments. The PK model and an optimizer were numerically implemented to determine the rate constants and, using these physiologic data, to generate TACs and time integrated activities (TIAs) for 3 tissue systems from clinical data gathered in 5 patients. A fourth (aggregate) tissue compartment is added using conservation of activity considerations.

Results: Feasibility of the PK model was demonstrated by successfully generating TACs and TIAs for all patients in a manner comparable to existing methods in the literature. The data are compared to smaller sampling regimes. Differences between the 3- and 4-compartment models show that conservation of activity considerations should be part of TAC estimations.

Conclusion: The results here suggest a new paradigm in RPT in using the rate constants so identified as a diagnostic tool and as a vehicle to achieving individualized tumorcidal dose and/or the maximum tolerable dose to normal tissues.

放射性药物治疗中时间-活性曲线的药代动力学模型测定。
简介和目的:放射性药物治疗(RPT)剂量测定由于数据测量稀疏和时间活性曲线(TAC)确定方式的变化,可能具有挑战性。在这项工作中,从理论上推导了一个方程系统来估计TAC。方法:建立了药代动力学(PK)模型来估计给定一组体室的患者特异性速率常数。我们对PK模型和优化器进行了数值模拟,以确定速率常数,并利用这些生理数据,从5名患者的临床数据中生成3个组织系统的tac和时间整合活性(TIAs)。第四个(聚集)组织室被添加使用保护活动的考虑。结果:通过与文献中现有方法相媲美的方式成功生成所有患者的tac和tia,证明了PK模型的可行性。将数据与较小的抽样范围进行比较。3室模型和4室模型之间的差异表明,活动守恒考虑应该是TAC估计的一部分。结论:这里的结果提示了RPT的一个新范例,即使用速率常数作为诊断工具,并作为实现个体化肿瘤杀伤剂量和/或正常组织的最大耐受剂量的载体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Imaging
Molecular Imaging Biochemistry, Genetics and Molecular Biology-Biotechnology
自引率
3.60%
发文量
21
期刊介绍: Molecular Imaging is a peer-reviewed, open access journal highlighting the breadth of molecular imaging research from basic science to preclinical studies to human applications. This serves both the scientific and clinical communities by disseminating novel results and concepts relevant to the biological study of normal and disease processes in both basic and translational studies ranging from mice to humans.
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